Álvaro L. Fazenda

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Network motif algorithms have been a topic of research mainly after the 2002-seminal paper from Milo et al, that provided motifs as a way to uncover the basic building blocks of most networks. This article proposes new algorithms to exactly count isomorphic pattern motifs of size 3 and 4 in directed graphs. The algorithms are accelerated by combinatorial(More)
Network motif algorithms have been a topic of research mainly after the 2002-seminal paper from Milo et al. [1], which provided motifs as a way to uncover the basic building blocks of most networks. Motifs have been mainly applied in Bioinformatics, regarding gene regulation networks. Motif detection is based on induced subgraph counting. This paper(More)
Today, due to the availability of free remote sensing data, efficient algorithms for image classification and increased connectivity and computing power, together with international policy initiatives, such as the United Nations Programme on Reducing Emissions from Deforestation and Forest Degradation (UNREDD),more andmore countries are investing in their(More)
Today, with freely available data coming from different satellites and instruments, efficient algorithms for image classification, and increased connectivity and computing power, together with international policy initiatives, such as the United Nations Framework Convention of Climate Change Reducing Emissions from Deforestation and Forest Degradation(More)
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